Model_name stringclasses 9
values | Train_size int64 50.8k 50.8k | Test_size int64 12.7k 12.7k | arg dict | lora listlengths 2 9 | Parameters int64 125M 596M | Trainable_parameters int64 125M 596M | r int64 80 128 | Memory Allocation stringclasses 9
values | Training Time stringclasses 9
values | accuracy float64 0.89 0.9 | f1_macro float64 0.89 0.9 | f1_weighted float64 0.89 0.9 | precision float64 0.89 0.9 | recall float64 0.89 0.9 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FacebookAI/roberta-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 355,374,093 | 355,374,093 | 128 | 5326.87 | 1726.4 | 0.898672 | 0.894193 | 0.898785 | 0.893694 | 0.894897 |
FacebookAI/xlm-roberta-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"dense",
"value",
"out_proj",
"key",
"query"
] | 559,904,781 | 559,904,781 | 80 | 9406.96 | 2229.39 | 0.899067 | 0.89475 | 0.899236 | 0.895081 | 0.894706 |
Qwen/Qwen3-Reranker-0.6B | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"down_proj",
"gate_proj",
"o_proj",
"score",
"up_proj"
] | 595,790,848 | 595,790,848 | 96 | 7678.37 | 1480.83 | 0.891163 | 0.886077 | 0.891407 | 0.886678 | 0.88603 |
RUCAIBox/mvp | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"fc1",
"dense",
"k_proj",
"out_proj",
"q_proj",
"fc2",
"v_proj"
] | 407,357,453 | 407,357,453 | 128 | 6056.82 | 2044.9 | 0.902387 | 0.898754 | 0.902485 | 0.899819 | 0.897933 |
answerdotai/ModernBERT-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"classifier",
"Wqkv",
"dense",
"Wo",
"Wi"
] | 395,844,621 | 395,844,621 | 112 | 4473.82 | 1048.02 | 0.894404 | 0.889364 | 0.894484 | 0.891222 | 0.888093 |
facebook/bart-large | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"v_proj",
"fc2",
"out_proj",
"fc1",
"dense",
"q_proj",
"k_proj"
] | 407,355,405 | 407,355,405 | 128 | 6054.73 | 2040.06 | 0.901676 | 0.89767 | 0.901767 | 0.898681 | 0.896902 |
facebook/opt-125m | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"v_proj",
"fc2",
"out_proj",
"score",
"fc1",
"q_proj",
"k_proj"
] | 125,244,672 | 125,244,672 | 128 | 2048.97 | 548.71 | 0.891875 | 0.887275 | 0.892017 | 0.888299 | 0.886448 |
facebook/opt-350m | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"v_proj",
"fc2",
"out_proj",
"score",
"project_in",
"fc1",
"q_proj",
"k_proj",
"project_out"
] | 331,200,000 | 331,200,000 | 128 | 4849.83 | 1638.34 | 0.892823 | 0.888285 | 0.892968 | 0.88966 | 0.88726 |
google-bert/bert-large-uncased | 50,775 | 12,652 | {
"adafactor": false,
"adam_beta1": 0.9,
"adam_beta2": 0.999,
"adam_epsilon": 1e-8,
"bf16": false,
"fp16": false,
"fp16_opt_level": "O1",
"gradient_accumulation_steps": 4,
"half_precision_backend": "auto",
"label_smoothing_factor": 0,
"learning_rate": 0.00005,
"lr_scheduler_type": "linear",
"m... | [
"classifier",
"dense"
] | 335,155,213 | 335,155,213 | 128 | 4937.25 | 1674.21 | 0.895036 | 0.890607 | 0.895131 | 0.891004 | 0.890462 |
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